About the job
We are seeking a self-motivated and proactive individual to drive the development and implementation of AI-based tools and workflows. You will collaborate closely with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. The ideal candidate consistently seeks opportunities to enhance system performance and contribute to organizational objectives, while upholding ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
Responsibilities
Design and implement AI systems for conversational search in medical content
Evaluate, debug, and improve conversational AI to ensure accuracy and efficiency
Monitor and optimize system performance for latency, cost, and reliability
Explore and apply reinforcement learning and self-improving techniques
Collaborate and communicate effectively with cross-functional teams and stakeholders to deliver scalable solutions
Ensure responsible and ethical AI practices throughout all stages of development
Stay up-to-date with advances in AI/ML and actively contribute ideas, research, or solutions to improve team and product capabilities
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
Qualifications
Minimum
Graduate degree in computer Science or similar fields
4+ years of hands-on experience in AI/ML, with a solid focus on natural language processing (NLP) and Language Models
3+ years of experience with libraries such as Langchain, OpenAI API, Hugging Face Transformers, or similar tools for finetuning and integrating LLMs
Experience with agentic frameworks such as LangGraph, AutoGen, Bedrock, or Vertex AI, demonstrated by contributing to projects involving the design of modular and scalable AI agents
Preferred
Experience deploying agentic systems in production environments, ensuring scalability, reliability, and performance
Experience with RL training for language models
Experience working on collaborative software projects using GitHub
Proven ability to engage in AI/ML research, evidenced by peer-reviewed publications or technical reports, and by incorporating recent advances in NLP and agentic frameworks into product-led projects